{
\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
\begin{tabular}{l*{6}{c}}
\toprule
            &\multicolumn{2}{c}{\specialcell{Contemporaneous\\Effect (t)}}&\multicolumn{2}{c}{\specialcell{One Year\\Later (t+1)}}&\multicolumn{2}{c}{\specialcell{Previous Year\\(Placebo) (t-1)}}\\\cmidrule(lr){2-3}\cmidrule(lr){4-5}\cmidrule(lr){6-7}
            &\multicolumn{1}{c}{\specialcell{Number\\(1)}}&\multicolumn{1}{c}{\specialcell{IHS\\(2)}}&\multicolumn{1}{c}{\specialcell{Number\\(3)}}&\multicolumn{1}{c}{\specialcell{IHS\\(4)}}&\multicolumn{1}{c}{\specialcell{Number\\(5)}}&\multicolumn{1}{c}{\specialcell{IHS\\(6)}}\\
\midrule
Proportion Other-Gender Neighbor = 1/2 & 2.5 & .00052 & -.84 & -.1 & 2.7 & .072 \\ & [.42] & [.99] & [.85] & [.28] & [.55] & [.37] \\ & \{.42\} & \{1\} & \{.82\} & \{.29\} & \{.48\} & \{.38\} \\ \\[-5pt] Proportion Other-Gender Neighbor = 1 & 1.8 & .0039 & 2.3 & .047  & 1.8 & .072 \\  & [.57] & [.94] & [.61] & [.59] & [.67] & [.43] \\ & \{.69\} & \{.96\} & \{.77\} & \{.79\} & \{.79\} & \{.53\} \\ \\[-5pt] \hline Observations & 1420 & 1420 & 941 & 941 & 946 & 946 \\ Session $\times$ Party $\times$ Strata FE & Y & Y & Y & Y & Y & Y \\ Outcome Mean & 82 & 4.7 & 83 & 4.5 & 76 & 4.5 \\ Outcome S.d. & 76 & 1.1 & 82 & 1.3 & 73 & 1.2 \\ \toprule \multicolumn{7}{p{16.8cm}}{\footnotesize \textit{Notes:} Each column in this table originates from a separate linear regression. Number is the total number of co-sponsorship links between the MP and any other-party MP in a given session. IHS is the inverse hyperbolic sine transformation of Number. Proportion Other-Gender Neighbor is the proportion of left-right seating neighbors from a different gender. MP-clustered p-values are in square brackets. Randomization inference p-values (200 draws) are in curly brackets. Special sessions and a short session (2017) are excluded. For lead and lag specifications, sessions are also dropped where lead/lag would be a special/short session or a session in a different parliamentary term. Strata FE is a dummy variable for whether MP was pre-assigned a seat. *** p<0.01, ** p<0.05, * p<0.1.} \\ \end{tabular} }
